RUS  ENG
Full version
JOURNALS // Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia // Archive

Dokl. RAN. Math. Inf. Proc. Upr., 2022 Volume 502, Pages 42–45 (Mi danma236)

MATHEMATICS

Comparative analysis of various numerically statistical projection algorithms for the solving the transfer theory problems

G. A. Mikhailovab, A. S. Kordaa, S. V. Rogazinskiiab

a Institute of Computational Mathematics and Mathematical Geophysics of Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
b Novosibirsk State University, Novosibirsk, Russia

Abstract: A comparative analysis of various variants of the Monte Carlo projective algorithm for estimating the particles flow through a layer of medium with scattering of the Henyey–Greenstein type is carried out. The possibility of minimizing the mean-square error by equalizing the corresponding stochastic and deterministic terms is investigated.

Keywords: Monte Carlo method, projection estimator, mean-square error, collision estimator, direct simulation, Laguerre polynomials, Henyey–Greenstein indicatrix.

UDC: 519.642

Received: 29.10.2021
Revised: 29.10.2021
Accepted: 20.12.2021

DOI: 10.31857/S2686954322010106


 English version:
Doklady Mathematics, 2022, 105:1, 35–38

Bibliographic databases:


© Steklov Math. Inst. of RAS, 2024